<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	>
<channel>
	<title>Comments on: Netvibes people feed!</title>
	<atom:link href="http://blog.polarrose.com/2008/07/netvibes-people-feed/feed/" rel="self" type="application/rss+xml" />
	<link>http://blog.polarrose.com/2008/07/netvibes-people-feed/</link>
	<description></description>
	<pubDate>Fri, 05 Dec 2008 03:44:43 +0000</pubDate>
	<generator>http://wordpress.org/?v=2.6.2</generator>
		<item>
		<title>By: Stefan Arentz</title>
		<link>http://blog.polarrose.com/2008/07/netvibes-people-feed/#comment-103564</link>
		<dc:creator>Stefan Arentz</dc:creator>
		<pubDate>Tue, 29 Jul 2008 12:52:27 +0000</pubDate>
		<guid isPermaLink="false">http://blog.polarrose.com/?p=69#comment-103564</guid>
		<description>Thomas: If it were only so simple. The Amazon web services are fantastic and we use them with a lot of success for many tasks. Unfortunately there is no auto-scaling magic in them. You still need to build your application logic, data storage strategy and infrastructure on top of it. In a scalable way.

The Storage Service that you mention is probably the easiest to use. We store images in S3 and serve them out to you through a CDN. That is one of the most simple components we use though. Other things are much more difficult to scale and require some really deep thinking and engineering efforts.</description>
		<content:encoded><![CDATA[<p>Thomas: If it were only so simple. The Amazon web services are fantastic and we use them with a lot of success for many tasks. Unfortunately there is no auto-scaling magic in them. You still need to build your application logic, data storage strategy and infrastructure on top of it. In a scalable way.</p>
<p>The Storage Service that you mention is probably the easiest to use. We store images in S3 and serve them out to you through a CDN. That is one of the most simple components we use though. Other things are much more difficult to scale and require some really deep thinking and engineering efforts.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Thomas BARTHELET</title>
		<link>http://blog.polarrose.com/2008/07/netvibes-people-feed/#comment-103277</link>
		<dc:creator>Thomas BARTHELET</dc:creator>
		<pubDate>Sun, 27 Jul 2008 15:32:13 +0000</pubDate>
		<guid isPermaLink="false">http://blog.polarrose.com/?p=69#comment-103277</guid>
		<description>Since Amazon introduced S3, infrastructure is no longer an issue and you can focus on your core technology.</description>
		<content:encoded><![CDATA[<p>Since Amazon introduced S3, infrastructure is no longer an issue and you can focus on your core technology.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: jagan</title>
		<link>http://blog.polarrose.com/2008/07/netvibes-people-feed/#comment-102545</link>
		<dc:creator>jagan</dc:creator>
		<pubDate>Wed, 23 Jul 2008 06:57:29 +0000</pubDate>
		<guid isPermaLink="false">http://blog.polarrose.com/?p=69#comment-102545</guid>
		<description>dsf</description>
		<content:encoded><![CDATA[<p>dsf</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: cougarten</title>
		<link>http://blog.polarrose.com/2008/07/netvibes-people-feed/#comment-102261</link>
		<dc:creator>cougarten</dc:creator>
		<pubDate>Mon, 21 Jul 2008 12:57:56 +0000</pubDate>
		<guid isPermaLink="false">http://blog.polarrose.com/?p=69#comment-102261</guid>
		<description>thank you :)</description>
		<content:encoded><![CDATA[<p>thank you :)</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Mikael Rousson</title>
		<link>http://blog.polarrose.com/2008/07/netvibes-people-feed/#comment-102049</link>
		<dc:creator>Mikael Rousson</dc:creator>
		<pubDate>Sat, 19 Jul 2008 18:23:43 +0000</pubDate>
		<guid isPermaLink="false">http://blog.polarrose.com/?p=69#comment-102049</guid>
		<description>Hi Cougarten,

Face matching is still on our top list. It is coming under different forms: clustering pictures (stacks in our search results), guessing name of unknown faces (name suggestion, automated indexing), finding similar faces...

While it's relatively easy to have something working on a few thousand images, but scaling it to millions or billions of images take a little time.
That's what kept us busy, building a vision technology and an infrastructure that scales. But we are getting there ;-).</description>
		<content:encoded><![CDATA[<p>Hi Cougarten,</p>
<p>Face matching is still on our top list. It is coming under different forms: clustering pictures (stacks in our search results), guessing name of unknown faces (name suggestion, automated indexing), finding similar faces&#8230;</p>
<p>While it&#8217;s relatively easy to have something working on a few thousand images, but scaling it to millions or billions of images take a little time.<br />
That&#8217;s what kept us busy, building a vision technology and an infrastructure that scales. But we are getting there ;-).</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: cougarten</title>
		<link>http://blog.polarrose.com/2008/07/netvibes-people-feed/#comment-101484</link>
		<dc:creator>cougarten</dc:creator>
		<pubDate>Tue, 15 Jul 2008 11:54:32 +0000</pubDate>
		<guid isPermaLink="false">http://blog.polarrose.com/?p=69#comment-101484</guid>
		<description>Is there still the plan to implement auto-facerecognition?
Never really heard from it since the very first Video making a 3D model from a Photo.
To much other work to do?
Does not yet give the expected results because the engine still needs some enhancement?
Hardware to weak for crawling, analysing and storing everything?
never the less: great job you do :)</description>
		<content:encoded><![CDATA[<p>Is there still the plan to implement auto-facerecognition?<br />
Never really heard from it since the very first Video making a 3D model from a Photo.<br />
To much other work to do?<br />
Does not yet give the expected results because the engine still needs some enhancement?<br />
Hardware to weak for crawling, analysing and storing everything?<br />
never the less: great job you do :)</p>
]]></content:encoded>
	</item>
</channel>
</rss>
